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Commit f3d9e730 authored by Pardini, Lorenzo (lopa)'s avatar Pardini, Lorenzo (lopa)
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parser/parser-exciting/exciting_parser_GS_input.py
View file @ f3d9e730
# Copyright 2016-2018 The NOMAD Developers Group
# Copyright 2017-2018 Lorenzo Pardini
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
......@@ -11,8 +11,7 @@
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Main author and maintainer: Lorenzo Pardini <loren.pard@gmail.com>
import xml.sax
import logging
import numpy as np
......
parser/parser-exciting/exciting_parser_bandstructure.py
View file @ f3d9e730
# Copyright 2016-2018 The NOMAD Developers Group
# Copyright 2017-2018 Lorenzo Pardini
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
......@@ -11,8 +11,7 @@
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Main author and maintainer: Lorenzo Pardini <loren.pard@gmail.com>
import xml.sax
import logging
import numpy as np
......
parser/parser-exciting/exciting_parser_dos.py
View file @ f3d9e730
# Copyright 2016-2018 The NOMAD Developers Group
# Copyright 2017-2018 Lorenzo Pardini
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
......@@ -11,8 +11,7 @@
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Main author and maintainer: Lorenzo Pardini <loren.pard@gmail.com>
import xml.sax
import logging
import numpy as np
......
parser/parser-exciting/exciting_parser_gw.py
View file @ f3d9e730
# Copyright 2016-2018 The NOMAD Developers Group
# Copyright 2017-2018 Lorenzo Pardini
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
......@@ -11,8 +11,7 @@
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Main author and maintainer: Lorenzo Pardini <loren.pard@gmail.com>
from builtins import object
import setup_paths
import xml.sax
......
parser/parser-exciting/exciting_parser_input.py
View file @ f3d9e730
# Copyright 2016-2018 The NOMAD Developers Group
# Copyright 2017-2018 Lorenzo Pardini
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
......@@ -11,8 +11,7 @@
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Main author and maintainer: Lorenzo Pardini <loren.pard@gmail.com>
import xml.sax
import logging
import numpy as np
......
parser/parser-exciting/out deleted 100644 → 0
View file @ 268a3b54
This diff is collapsed.
parser/parser-exciting/parser_elastic.py deleted 100644 → 0
View file @ 268a3b54
#!/usr/bin/env python
from sys import stdin
from numpy import *
from math import *
import numpy as np
import subprocess
import warnings
import os.path
import shutil
import copy
import math
import sys
import os
#def __init__(self):
# self.energy = []
# self.eta = []
#INFO=open('../../test/examples/elastic/INFO_ElaStic', 'r')
INFO=open('INFO_ElaStic', 'r')
l1 = INFO.readline()
ordr= int(l1.split()[-1])
l2 = INFO.readline()
mthd= l2.split()[-1]
l3 = INFO.readline()
cod = l3.split()[-1]
l4 = INFO.readline()
SGN = int(l4.split()[-1])
l5 = INFO.readline()
V0 = float(l5.split()[-2])
l6 = INFO.readline()
mdr = float(l6.split()[-1])
l7 = INFO.readline()
NoP = int(l7.split()[-1])
INFO.close()
'''
###### The number of independent elastic constants is calculated and then checked ######
###### whether it corresponds to the number of "Dst--" folders ######
#
if (1 <= SGN and SGN <= 2): # Triclinic
LC = 'N'
if (ordr == 2): ECs = 21
if (ordr == 3): ECs = 56
elif(3 <= SGN and SGN <= 15): # Monoclinic
LC = 'M'
if (ordr == 2): ECs = 13
if (ordr == 3): ECs = 32
elif(16 <= SGN and SGN <= 74): # Orthorhombic
LC = 'O'
if (ordr == 2): ECs = 9
if (ordr == 3): ECs = 20
elif(75 <= SGN and SGN <= 88): # Tetragonal II
LC = 'TII'
if (ordr == 2): ECs = 7
if (ordr == 3): ECs = 16
elif(89 <= SGN and SGN <= 142): # Tetragonal I
LC = 'TI'
if (ordr == 2): ECs = 6
if (ordr == 3): ECs = 12
elif(143 <= SGN and SGN <= 148): # Rhombohedral II
LC = 'RII'
if (ordr == 2): ECs = 7
if (ordr == 3): ECs = 20
elif(149 <= SGN and SGN <= 167): # Rhombohedral I
LC = 'RI'
if (ordr == 2): ECs = 6
if (ordr == 3): ECs = 14
elif(168 <= SGN and SGN <= 176): # Hexagonal II
LC = 'HII'
if (ordr == 2): ECs = 5
if (ordr == 3): ECs = 12
elif(177 <= SGN and SGN <= 194): # Hexagonal I
LC = 'HI'
if (ordr == 2): ECs = 5
if (ordr == 3): ECs = 10
elif(195 <= SGN and SGN <= 206): # Cubic II
LC = 'CII'
if (ordr == 2): ECs = 3
if (ordr == 3): ECs = 8
elif(207 <= SGN and SGN <= 230): # Cubic I
LC = 'CI'
if (ordr == 2): ECs = 3
if (ordr == 3): ECs = 6
'''
i = 1
while 1:
if (i<10):
Dstn = 'Dst0'+ str(i)
if (os.path.exists(Dstn) == True):
i += 1
else:
break
else:
Dstn = 'Dst' + str(i)
if (os.path.exists(Dstn) == True):
i += 1
else:
break
defNum = i - 1
ECs = defNum
#if defNum != ECs:
# print("Error")
energy = []
eta = []
for j in range(1, ECs+1):
if (j<10):
Dstn = 'Dst0'+ str(j)
eta.append([])
energy.append([])
else:
Dstn = 'Dst' + str(i)
eta.append([])
energy.append([])
os.chdir(Dstn)
f = open(Dstn+'-Energy.dat', 'r')
while 1:
s = f.readline()
if not s: break
s = s.strip()
dummy_eta, dummy_energy = s.split()
eta[-1].append(float(dummy_eta))
energy[-1].append(float(dummy_energy))
os.chdir('../')
defTyp = []
f = open('Distorted_Parameters','r')
while 1:
s = f.readline()
if not s: break
s = s.strip()
if 'Lagrangian' in s:
defTyp.append([])
s = s.split("(")
s = s[-1].split(")")
s = s[0].split(",")
for i in range(0,6):
s[i] = s[i].strip()
if s[i] == '0.0':
defTyp[-1].append(float(s[i]))
elif s[i] == 'eta':
defTyp[-1].append(mdr)
elif s[i] == '2eta':
defTyp[-1].append(2.0*mdr)
elif s[i] == '-eta':
defTyp[-1].append(-mdr)
elif s[i] == '.5eta':
defTyp[-1].append(0.5*mdr)
elif s[i] == '-2eta':
defTyp[-1].append(-2.0*mdr)
elif s[i] == '3eta':
defTyp[-1].append(3.0*mdr)
elif s[i] == '4eta':
defTyp[-1].append(4.0*mdr)
elif s[i] == '5eta':
defTyp[-1].append(5.0*mdr)
elif s[i] == '6eta':
defTyp[-1].append(6.0*mdr)
elif s[i] == '-3eta':
defTyp[-1].append(-3.0*mdr)
elif s[i] == '-5eta':
defTyp[-1].append(-5.0*mdr)
elif s[i] == '-6eta':
defTyp[-1].append(-6.0*mdr)
elif s[i] == '-4eta':
defTyp[-1].append(-4.0*mdr)
f.close()
os.chdir('Energy-vs-Strain')
d2E6_val = []
d2E4_val = []
d2E2_val = []
d2E6_eta = []
d2E4_eta = []
d2E2_eta = []
d2E_val_tot = []
d2E_eta_tot = []
for i in range(1, ECs+1):
d2E_val_tot.append([])
d2E_eta_tot.append([])
if (i<10):
Dstn = 'Dst0'+ str(i) + '_d2E.dat'
f = open (Dstn,'r')
while 1:
s = f.readline()
if not s: break
s = s.strip()
if "order" in s.split():
d2E_val_tot[-1].append([])
d2E_eta_tot[-1].append([])
elif len(s) >= 30:
d2E_eta, d2E_values = s.split()
d2E_val_tot[-1][-1].append(float(d2E_values))
d2E_eta_tot[-1][-1].append(float(d2E_eta))
f.close()
else:
Dstn = 'Dst' + str(i) + '_d2E.dat'
f = open (Dstn,'r')
while 1:
s = f.readline()
if not s: break
s = s.strip()
if "order" in s.split():
d2E_val_tot[-1].append([])
d2E_eta_tot[-1].append([])
elif len(s) >= 30:
d2E_eta, d2E_values = s.split()
d2E_val_tot[-1][-1].append(float(d2E_values))
d2E_eta_tot[-1][-1].append(float(d2E_eta))
f.close()
d2E6_val.append(d2E_val_tot[i-1][0])
d2E4_val.append(d2E_val_tot[i-1][1])
d2E2_val.append(d2E_val_tot[i-1][2])
d2E6_eta.append(d2E_eta_tot[i-1][0])
d2E4_eta.append(d2E_eta_tot[i-1][1])
d2E2_eta.append(d2E_eta_tot[i-1][2])
CrossVal6_val = []
CrossVal4_val = []
CrossVal2_val = []
CrossVal_val_tot = []
CrossVal6_eta = []
CrossVal4_eta = []
CrossVal2_eta = []
CrossVal_eta_tot = []
for i in range(1, ECs+1):
CrossVal_val_tot.append([])
CrossVal_eta_tot.append([])
if (i<10):
DstnCV = 'Dst0'+ str(i) + '_CVe.dat'
f = open (DstnCV,'r')
while 1:
s = f.readline()
if not s: break
s = s.strip()
if "order" in s.split():
CrossVal_val_tot[-1].append([])
CrossVal_eta_tot[-1].append([])
elif len(s) >= 20 and s.split()[0] != '#':
CrossVal_eta, CrossVal_values = s.split()
CrossVal_val_tot[-1][-1].append(float(CrossVal_values))
CrossVal_eta_tot[-1][-1].append(float(CrossVal_eta))
f.close()
else:
DstnCV = 'Dst' + str(i) + '_CVe.dat'
f = open (Dstn,'r')
while 1:
s = f.readline()
if not s: break
s = s.strip()
if "order" in s.split():
CrossVal_val_tot[-1].append([])
CrossVal_eta_tot[-1].append([])
elif len(s) >= 20 and s.split()[0] != '#':
CrossVal_eta, CrossVal_values = s.split()
CrossVal_val_tot[-1][-1].append(float(CrossVal_values))
CrossVal_val_tot[-1][-1].append(float(CrossVal_values))
f.close()
CrossVal6_val.append(CrossVal_val_tot[i-1][0])
CrossVal4_val.append(CrossVal_val_tot[i-1][1])
CrossVal2_val.append(CrossVal_val_tot[i-1][2])
CrossVal6_eta.append(CrossVal_eta_tot[i-1][0])
CrossVal4_eta.append(CrossVal_eta_tot[i-1][1])
CrossVal2_eta.append(CrossVal_eta_tot[i-1][2])
os.chdir('../')
f = open ('ElaStic_'+str(ordr)+'nd.in','r')
etaEC = []
fitEC = []
for i in range(1, ECs+1):
s = f.readline()
s = s.strip()
dummy, etaEC_dummy, fitEC_dummy = s.split()
etaEC.append(etaEC_dummy)
fitEC.append(fitEC_dummy)
f = open ('ElaStic_'+str(ordr)+'nd.out','r')
allMat = [[],[],[],[],[],[]]
voigtMat = [[],[],[],[],[],[]]
ECMat = [[],[],[],[],[],[]]
complMat = [[],[],[],[],[],[]]
while 1:
s = f.readline()
if not s: break
s = s.strip()
s = s.split()
if len(s) == 1:
try: float(s[0])
except ValueError:
continue
else:
EC_eigen = float(s[0])
elif "B_V" in s:
B_V = float(s[5])
elif "G_V" in s:
G_V = float(s[5])
elif "B_R" in s:
B_R = float(s[5])
elif "G_R" in s:
G_R = float(s[5])
elif "B_H" in s:
B_H = float(s[5])
elif "G_H" in s:
G_H = float(s[5])
elif "E_V" in s:
E_V = float(s[5])
elif "nu_V" in s:
nu_V = float(s[5])
elif "E_R" in s:
E_R = float(s[5])
elif "nu_R" in s:
nu_R = float(s[5])
elif "E_H" in s:
E_H = float(s[5])
elif "nu_H" in s:
nu_H = float(s[5])
elif len(s) == 6 and s[0] != "Elastic" and s[0] != "Eigenvalues":
for i in range(0,6):
allMat[i].append(s[i])
elif "AVR" in s:
AVR = float(s[6])
f.close()
for i in range(0,6):
voigtMat[i] = allMat[i][0:6]
ECMat[i] = allMat[i][6:12]
complMat[i] = allMat[i][12:18]
for i in range(0,6):
for j in range(0,6):
ECMat[i][j] = float(ECMat[i][j])
complMat[i][j] = float(complMat[i][j])
parser/parser-exciting/parser_exciting.py
View file @ f3d9e730
# Copyright 2016-2018 The NOMAD Developers Group
# Copyright 2017-2018 Lorenzo Pardini
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
......@@ -11,8 +11,7 @@
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Main author and maintainer: Lorenzo Pardini <loren.pard@gmail.com>
from builtins import object
import setup_paths
import numpy as np
......
parser/parser-exciting/parser_exciting_helium.py
View file @ f3d9e730
# Copyright 2016-2018 The NOMAD Developers Group
# Copyright 2017-2018 Lorenzo Pardini
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
......@@ -11,8 +11,7 @@
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Main author and maintainer: Lorenzo Pardini <loren.pard@gmail.com>
from builtins import object
import setup_paths
import numpy as np
......
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